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Volumn 15, Issue 4, 2011, Pages 465-482

Data clustering using variable precision rough set

Author keywords

Clustering; rough set; variable precision rough set model

Indexed keywords

CATEGORICAL DATA; CATEGORICAL DATA CLUSTERING; CLUSTER ANALYSIS TECHNIQUE; CLUSTERING; DATA CLUSTERING; DATA OBJECTS; FUNDAMENTAL OPERATIONS; INTEGRAL PART; NOISY DATA; ROUGH SET; VARIABLE PRECISION ROUGH SETS; VARIABLE-PRECISION ROUGH SET MODEL;

EID: 79960789800     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/IDA-2011-0478     Document Type: Article
Times cited : (16)

References (13)
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  • 4
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    • A rough set approach in choosing partitioning attributes
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    • (2000) Proceedings of the ISCA 13th , pp. 1-6
    • Mazlack, L.J.1    He, A.2    Zhu, Y.3    Coppock, Y.S.4
  • 5
    • 34548666399 scopus 로고    scopus 로고
    • MMR: An algorithm for clustering categorical data using rough set theory
    • D. Parmar, T.Wu and J. Blackhurst, MMR: An algorithm for clustering categorical data using rough set theory, Data and Knowledge Engineering 63 (2007), 879-893.
    • (2007) Data and Knowledge Engineering , vol.63 , pp. 879-893
    • Parmar, D.1    Wu, T.2    Blackhurst, J.3
  • 8
    • 79960782067 scopus 로고    scopus 로고
    • http://www.ics.uci.edu/mlearn/MLRepository.html.
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    • http://archive.ics.uci.edu/ml/datasets/Balloons.
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    • http://archive.ics.uci.edu/ml/datasets/Tic-Tac-Toe+Endgame.
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    • http://archive.ics.uci.edu/ml/datasets/SPECT+Heart.
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    • http://archive.ics.uci.edu/ml/datasets/Hayes-Roth.
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    • Information granulation and rough set approximation
    • DOI 10.1002/1098-111X(200101)16:1<87::AID-INT7>3.0.CO;2-S
    • Y.Y. Yao, Information granulation and rough set approximation, International Journal of Intelligent Systems 16(1) (2001), 87-104. (Pubitemid 32089958)
    • (2001) International Journal of Intelligent Systems , vol.16 , Issue.1 , pp. 87-104
    • Yao, Y.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.